CT

HKU-BAL/ClairS-TO

ClairS-TO - a deep-learning method for tumor-only somatic variant calling

89 5 +0/wk
GitHub
bioinformatics deep-learning genomics illumina long-read-sequencing long-reads nanopore ont pacbio snvs somatic-mutations somatic-variants
Trend 3

Star & Fork Trend (29 data points)

Stars
Forks

Multi-Source Signals

Growth Velocity

HKU-BAL/ClairS-TO has +0 stars this period . 7-day velocity: 1.1%.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric ClairS-TO macmind Multi-UAV-Mobile-Edge-Computing-Hybrid-Optimization ScalingOpt
Stars 89 898989
Forks 5 5101
Weekly Growth +0 +1+0+0
Language Python PythonPythonHTML
Sources 1 111
License BSD-3-Clause MITMITN/A

Capability Radar vs macmind

ClairS-TO
macmind
Maintenance Activity 100

Last code push 4 days ago.

Community Engagement 28

Fork-to-star ratio: 5.6%. Lower fork ratio may indicate passive usage.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 95

Licensed under BSD-3-Clause. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.

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